Neuro-Symbolic Graph Reasoning and Knowledge Graph Analysis - From Theory to Implementation
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Overview
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Learn about neuro-symbolic graph reasoning in this 25-minute technical talk that explores the integration of neural and symbolic AI methodologies for transforming unstructured text into structured representations. Dive into three cutting-edge AI research papers, understand the fundamentals of neuro-symbolic frameworks, and examine real-world applications through a BioMed research case study. Master the process of learning logical rules from data, follow a detailed beginner-friendly step-by-step example, and explore essential tools and technologies. Conclude with a practical Python code demonstration that illustrates how to implement knowledge graphs, leverage Natural Language Processing techniques, and combine neural AI's pattern recognition capabilities with symbolic AI's logical reasoning for enhanced data analysis and decision-making.
Syllabus
3 new AI research papers
Neuro-symbolic frameworks insights
BioMed Research Example
Learning new Logical Rules from Data
Detailed Step-by-Step Example for Beginners
Tools and Technologies involved
Python Code example
Taught by
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